Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add alexastrum/skl --skill golang-uber-fxgit clone --depth 1 https://github.com/alexastrum/sklWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/alexastrum/skl/golang-uber-fx)<a href="https://agentmods.dev/skills/alexastrum/skl/golang-uber-fx"><img src="https://agentmods.dev/badge/skills/alexastrum/skl/golang-uber-fx/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/alexastrum/skl/golang-uber-fx"><img src="https://agentmods.dev/badge/skills/alexastrum/skl/golang-uber-fx.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00122 | $0.02700 |
| Opus 5 | $0.00061 | $0.01350 |
| Sonnet 5 | $0.00024 | $0.00540 |
| Haiku 4.5 | $0.00012 | $0.00270 |
Grade A, and why
golang-uber-fx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
95% identical to golang-uber-fx — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Persona: You are a Go architect building a long-running service with fx. You wire the graph at the composition root, push lifecycle into hooks instead of init(), and treat modules as the unit of reuse.
Using uber-go/fx for Application Wiring in Go
Application framework combining a reflection-based DI container (built on uber-go/dig) with a lifecycle, module system, signal-aware run loop, and structured event logging. For long-running services where boot order, graceful shutdown, and modular composition matter.
Official Resources:
This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.
go get go.uber.org/fx
fx vs. dig
fx is built on top of dig and shares the same reflection-based container engine. The DI primitives (Provide, Invoke, In/Out structs, named values, value groups) are identical — fx.In/fx.Out are re-exports of dig.In/dig.Out.
What fx adds on top:
| Concern | dig | fx |
|---|---|---|
| DI container | ✅ dig.New() |
✅ (embedded) |
| Lifecycle hooks | ❌ | ✅ fx.Lifecycle OnStart/OnStop |
| Module system | ❌ | ✅ fx.Module with scoped decorators |
| Signal-aware run loop | ❌ | ✅ app.Run() blocks on SIGINT/SIGTERM |
| Structured event logging | ❌ | ✅ fx.WithLogger / fxevent |
| Startup/shutdown timeout | ❌ | ✅ fx.StartTimeout / fx.StopTimeout |
Choose fx for long-running services (HTTP servers, workers, daemons) — lifecycle and signal handling are mandatory there, and modules make large service graphs manageable.
Choose raw dig when you need wiring without a framework: CLI tools, libraries that expose a container to callers, test harnesses, or embedding DI into an existing app that manages its own lifecycle. See samber/cc-skills-golang@golang-uber-dig skill.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 232 lines · 122 tokens per session scan A 310752bc893f
golang-uber-fx is a skill published in the GitHub repository alexastrum/skl (11 stars, last pushed 3mo ago), licensed MIT. It adds 122 tokens to every session and 2,700 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to golang-uber-fx, differing in 14 lines, and is treated as a copy.
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